Skeleton-based action recognition through dual-granularity feature fusion with self-adapting graph convolution and multi-scale temporal convolution
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Benchmark
Model
Rank
Results
skeleton-based-action-recognition-on-ntu-rgbd-120
MTGCN
–
Accuracy (Cross-Subject): 80.8
Accuracy (Cross-Setup): 81.7
skeleton-based-action-recognition-on-ntu-rgbd-60
MTGCN
–
Accuracy (CS): 90.5
Accuracy (CV): 95.2
Rank counts only results with a code link.